Summary of the COVID-19 monitoring indicators

## INFORMATION 25/01/2023 Following a seizure error, the number of deaths in week 03 in ESMS was revised downwards. The necessary corrections have been made and explain the artificial decrease in the number of total deaths that have occurred since the outbreak began. **15/11/2022** Following the suspension of the activity by some of the Private Medical Biology Laboratories since 14 November, the number of “New cases confirmed since the previous day” is underestimated as of Tuesday 15/11. Similarly, the incidence rate and the screening rate will be underestimated as of Thursday 17/11. The teams of Public Health France remain mobilised to ensure the follow-up of the epidemic, which is based on multi-source surveillance. **08/06/2022** **Given the current favourable trend and the decline of the main indicators, as of 11 June 2022, COVID-19 indicators produced by Public Health France will be updated on Géodes and data.gouv.fr every day except weekends and public holidays.** ### Description of the dataset **This dataset includes most of the summary indicators for monitoring the COVID-19 outbreak in France.** An inventory of COVID-19 data on data.gouv.fr is available [here](https://www.data.gouv.fr/fr/pages/donnees-coronavirus). In particular, these data are shown on the *overall* tab of the [epidemic monitoring dashboard available on government.fr](https://www.gouvernement.fr/info-coronavirus/carte-et-donnees). The latter presents since 28 March 2020 data relating to the COVID-19 outbreak in France. This tool, whose [source code is free](https://github.com/etalab/covid19-dashboard), was developed under the impetus of Etalab and with the collaboration of civil society. It provides a consolidated view of the available official data. ## Description of the data The data in the dataset is published daily. ### Contextual data: — ‘‘‘date’’ = Date — “‘‘DEP’”’= Department — “‘‘Reg’”’= Region — “‘‘lib_dep’”'= denominated department — ‘‘‘lib_reg’"’= labeled region ### Data on the hospital situation — ‘‘‘Hosp’’= Number of patients currently hospitalised for COVID-19. — ‘’‘‘incid_hosp’"’= Number of new patients hospitalised in the last 24 hours. — “‘‘REA’”= Number of patients currently undergoing resuscitation or intensive care. — ‘’‘‘incid_rea’"’= Number of new patients admitted to resuscitation in the last 24 hours. — ‘‘RAD’’= Cumulative number of patients who have been hospitalised for COVID-19 and have returned home due to the improvement in their health status. — “‘‘incid_rad’”'= New home returns in the last 24 hours. ### Data on death due to COVID-19 — ‘‘‘dchosp’’= Death in hospital — ‘’‘‘incid_dchosp’’= New patients who died in hospital in the last 24 hours. — “‘‘esms_dc’”'= Death in ESMS — ‘‘‘‘dc_tot’’= Cumulation of deaths (cumulation of deaths recorded in hospital and EMS) ### Test data — “‘‘CONF’”’= Number of confirmed cases — “‘‘conf_j1’”'= Number of new confirmed cases (D-1 date of results) — ‘‘POS’"= Number of persons declared positive (D-3 date of sampling) — ‘‘‘pos_7j’’' = Number of persons declared positive over a week (D-3 date of sampling) — ‘‘‘esms_cas’’ = ESMS confirmed cases ### Data on COVID-19 monitoring indicators —‘‘‘Tx_pos’’= **Positivity rate** of virological tests (Positivity rate is the number of people tested positive (RT-PCR and antigenic test) for the first time in more than 60 days compared to the total number of people tested positive or negative over a given period of time; and which have never been tested positive in the previous 60 days.) — ‘’‘‘tx_incid’"’= **incidence rate** (epidemic activity: The incidence rate corresponds to the number of people tested positive (RT-PCR and antigenic test) for the first time in more than 60 days reported to population size. It is expressed per 100,000 inhabitants) — “‘‘‘to’”= **occupancy rate**: hospital strain on resuscitation capacity (Proportion of COVID-19 patients currently in resuscitation, intensive care, or continuous monitoring unit reported to total beds in initial capacity, i.e. before increasing the capacity of resuscitation beds in a hospital). — ‘‘‘R’"’= ** Virus Reproduction Factor** (evolution of R0: The number of reproduction of the virus: this is the average number of people an infected person can contaminate. If the effective R is greater than 1, the epidemic develops; if it is less than 1, the epidemic declines) — **Points of attention**: — Data collection methods have evolved over time; — During the summer of 2020, the data were not published during weekends and public holidays. ###**Resources** — **[view dashboard](https://www.gouvernement.fr/info-coronavirus/carte-et-donnees)** — **[see inventory of COVID-19 data on data.gouv.fr](https://www.data.gouv.fr/fr/pages/donnees-coronavirus)** — **[consult data from Public Health France](https://www.data.gouv.fr/fr/organizations/sante-publique-france/)** — **[consult data from the Ministry of Solidarity and Health](https://www.data.gouv.fr/fr/organizations/ministere-des-solidarites-et-de-la-sante/)**